Reinterpretation of Sieczka Hoayst Financial Market Model

نویسندگان

  • M. Denys
  • T. Gubiec
  • R. Kutner
چکیده

In this work we essentially reinterpreted the Sieczka Hoayst model to make it more suited for description of real markets. For instance, this reinterpretation made it possible to consider agents as crafty. These agents encourage their neighbors to buy some stocks if agents have an opportunity to sell these stocks. Also, agents encourage them to sell some stocks if agents have an opposite opportunity. Furthermore, in our interpretation price changes respond only to the agents' opinions change. This kind of respond protects the stock market dynamics against the paradox (present in the Sieczka Hoayst model), where all agents e.g. buy stocks while the corresponding prices remain unchanged. In this work we found circumstances, where distributions of returns (obtained for quite di erent time scales) either obey power-law or have at least fat tails. We obtained these distributions from numerical simulations performed in the frame of our approach.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Impact of Financial Market Fluctuations on Financial Instability in the Iranian Economy: The Wavelet based Markov Switching Model

In this study, the effect of fluctuations of asset markets (exchange rate, oil price and stock market index) on financial instability index over a period of 1388-1397 monthly is investigated by using the Markov Switching model. The wavelet transform model is used to extract exchange rate fluctuations, oil prices and stock market index. The results show that the effect of exchange rate fluctuati...

متن کامل

A Stock Market Filtering Model Based on Minimum Spanning Tree in Financial Networks

There have been several efforts in the literature to extract as much information as possible from the financial networks. Most of the research has been concerned about the hierarchical structures, clustering, topology and also the behavior of the market network; but not a notable work on the network filtration exists. This paper proposes a stock market filtering model using the correlation - ba...

متن کامل

Genetic-Fuzzy Data Envelopment Analysis Model for Evaluating Financial Institutions Relative Productivity in a Fluctuating Economic Market

This paper presents a Genetic Algorithm Fuzzy Data Envelopment Analysis (GA-FDEA) model that caters for optimal selecting of economic indicators for the measurement of relative productivity and performance of financial institutions. Imprecise or uncertain data of financial institutions due to varying monetary policies and market risk were retrieved from Nigeria Stock Exchange Commission and eva...

متن کامل

Transformation of Household Credit Behavior in the Conditions of Digitalization of the Financial Services Market

Within the article, the impact of modern digitalization processes on changing household credit behavior is considered. Much attention is paid to defining the essence of digitalization and exploring the features of its impact on the financial services market. Accordingly, the content of household credit behavior and its individual models are examined. This behavior is proposed to be considered a...

متن کامل

A Study on the Financial Performance of Companies Using Data Envelopment Analysis Model and Zemijsky's Model and a Comparison of their Results

Recent bankruptcy of big companies all over the world and fluctuations in Iran's stock market require that some methods be developed for the evaluation of companies' financial potential. Different models are used for the prediction of bankruptcy and the evaluation of organizational financial situation. Environmental changes and increasing competition among agencies led to companies' and organiz...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013